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1106

geo-information-systems-and-remote-sensing

Semester: 1.
Credits: 6 CP
Duration: 1 Semester
Module Supervisor: Prof. Dr. Benjamin Bechtel
Contact hours: 3 SWS
Selfstudy: 140 h
Group size: 15
Learning Goals

Students acquire the following knowledge and skills:

  • structured approaches and solution concepts in the processing of spatially related issues.
  • Application of Geographic Information Systems (GIS) and other techniques of computer-aided processing of geographic data
  • Analytical linking of the process from data collection to computer-aided processing, evaluation, modeling and presentation of data
  • Independent, problem-oriented selection and application of numerical methods
Contents

Provides advanced theoretical and practical knowledge in geographic data and information processing.

Possible topics:

  • Practical acquisition and analysis of spatial data.
  • Research design, data mining, data modeling
  • Data organization, data structure, digital spatial data
  • Application of databases/geodatabasesProcessing and analysis of vector and raster data with GIS (ArcGIS, IDRISI).
  • Complex spatial analysis with GIS (ArcGIS, IDRISI)Uni- and bivariate data analysis with the programming language python
  • Visualization of the results of uni- and bivariate data analysis
  • Methods of spatial interpolation of three-dimensional data
Teaching methods

Seminar

Mode of assessment

Practice-related final task

Additional Information

Conditions for granting credit points

Passing of the examination task

Usage of the module
Compulsory elective module

Stellenwert der Note für die Endnote
The module grade is CP-weighted and is included in the final M.Sc. grade.




Courses in Summer Semester 2025

No courses are scheduled for this semester.

Courses in Winter Semester 2024-2025

Lecturers:Malte Bührs
Course type:Seminar
Registration:eCampus

Registration via Moodle

 

Examination components:

Written thesis
Presentation and completion of the practical exercises (coursework)

Target audience:

Students of the VT SLÖK Master's program

Requirements:GIS basic knowledge, basics of landscape ecology
Goals

In-depth use of geoinformation systems in environmental and authorisation law issues.

Content

Today, geographic information systems (GIS) are standard tools for processing spatial and interdisciplinary issues, e.g. in environmental protection and in urban and landscape planning. Building on basic knowledge of GIS, the lecture deepens knowledge of ArcGIS & QGIS. In the subsequent case studies on the individual topics, approaches are taught that enable the implementation of more complex projects and spatial analyses. What has been learnt can be transferred to other issues and then extended. One focus is the analytical-modelling evaluation of ecosystem services using EnhancES, a QGIS toolbox, as well as the analysis and evaluation of protected assets in the context of an environmental impact assessment.

Contents: Functions and operation of ArcGIS & QGIS; data organisation, data structure, data retrieval; processing and analysis of vector and raster data; analytical modelling landscape analysis with GIS (habitat suitability maps, landscape structure measures, GIS-supported assessment methods and GIS in landscape planning); more complex spatial analyses.

Organization

Thematic blocks:

1. basics
2. concept of protected goods and ecosystem services
3. evaluation of projects in terms of their environmental impact from different perspectives using GIS

Literature

will be announced in the Moodle course

Lecturers:Benjamin Bechtel
Course type:Seminar
Registration:eCampus

Registration via eCampus from 19.07.-25.09.2024

Examination components:

Written thesis

Presentation and processing of the practical exercises (course work)

Target audience:

Students of the Master SLÖK, open for other majors

Requirements:Interest in remote sensing, basic GIS knowledge.
Goals

In-depth examination of the role of remote sensing in the geosciences; hands-on experience processing exemplary remote sensing data in GIS; guided and independent performance of various data analyses.

Content

With the Sentinel satellites of ESA's Copernicus program and new missions from NASA (e.g., Landsat 8 and 9), as well as the opening of archives of historical remote sensing data, a new era of Earth observation has begun. These opportunities are fostering new methods that harness multitemporal and multisensory data from the local to the global scale for a wide variety of environmental monitoring applications. These include terrestrial and marine ecosystems, the atmosphere, and climate change monitoring.

In this course, we address theoretically and practically the opportunities for the geosciences arising from these developments. Therefore, we discuss the current state of the art and future sensors and their applications in environmental research. More specifically, we consider the monitoring capabilities of key parameters of all geospheres and a wide range of remote sensing techniques, including multispectral, hyperspectral, thermal, and RADAR techniques. Ultimately, we aim to understand how this partial knowledge can be integrated into more holistic modeling approaches for the Earth system, supporting policy and decision making on environmental problems.

Organization

The course divided into the following blocks of topics: I. Fundamentals, II. remote sensing of land surface, III. urban remote sensing, IV. remote sensing of oceans, V. remote sensing of the atmosphere, VI. Integration

In each block, theoretical content on individual sensors and methods will be taught (as input and in the form of presentations) as well as practical example analyses using GIS. We mainly use the open source software SAGA, which is also available at any time.

Literature

will be announced in the Moodle course